CITATION

Plain text
----------

Kamil Slowikowski, Xinli Hu, and Soumya Raychaudhuri. "SNPsea: an algorithm to
identify cell types, tissues and pathways affected by risk loci."
Bioinformatics (2014) 30 (17): 2496-2497.


Web
---

http://bioinformatics.oxfordjournals.org/content/30/17/2496.full

doi:10.1093/bioinformatics/btu326


BibTeX
------

@article{Slowikowski2014,
    author = {Slowikowski, Kamil and Hu, Xinli and Raychaudhuri, Soumya}, 
    title = {SNPsea: an algorithm to identify cell types, tissues and pathways
    affected by risk loci},
    volume = {30}, 
    number = {17}, 
    pages = {2496-2497}, 
    year = {2014}, 
    doi = {10.1093/bioinformatics/btu326}, 
    abstract = {Summary: We created a fast, robust and general C++
        implementation of a single-nucleotide polymorphism (SNP) set
        enrichment algorithm to identify cell types, tissues and pathways
        affected by risk loci. It tests trait-associated genomic loci for
        enrichment of specificity to conditions (cell types, tissues and
        pathways). We use a non-parametric statistical approach to compute
        empirical P-values by comparison with null SNP sets. As a proof of
        concept, we present novel applications of our method to four sets of
        genome-wide significant SNPs associated with red blood cell count,
        multiple sclerosis, celiac disease and HDL cholesterol.Availability
        and implementation: http://broadinstitute.org/mpg/snpseaContact:
        soumya@broadinstitute.orgSupplementary information: Supplementary data
        are available at Bioinformatics online.}, 
    URL = {http://bioinformatics.oxfordjournals.org/content/30/17/2496.abstract}, 
    eprint = {http://bioinformatics.oxfordjournals.org/content/30/17/2496.full.pdf+html}, 
    journal = {Bioinformatics} 
}